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Ramon Matas

3 papers · 2021–2022 · 3 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🐣 Hot Topic Early Bird

Venues

ICLR (1) ICML (1) NeurIPS (1)

Top co-authors

Paul Whatmough (3) Matthew Mattina (3) Yue Zhao (2) Durmus Alp Emre Acar (2) Venkatesh Saligrama (2) Igor Fedorov (1) Hokchhay Tann (1) Chuteng Zhou (1) Ruizhao Zhu (1)

Research topics

Artificial Intelligence (2) Machine Learning (2) Learning Paradigms (2) Optimization & Theory · Machine Learning (2) Deep Learning (1) Application Areas (1) Learning Types (1) Optimization & Theory · Deep Learning (1) Techniques (1)

Keywords

federated learning (2) model compression (1) distributed learning (1) neural architecture search (1) personalized model (1) weight quantization (1) model sparsity (1) model debiasing (1) dynamic regularization (1) gradient correction (1) neural network (1) neural processing unit (1) tiny machine learning (1) meta learning (1) local device (1)

Papers

UDC: Unified DNAS for Compressible TinyML Models for Neural Processing Units NeurIPS 2022 Debiasing Model Updates for Improving Personalized Federated Training ICML 2021 Federated Learning Based on Dynamic Regularization ICLR 2021